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9 2 Inch Howitzer Mk II Hastings May 1940 2
80-G-2357 (24487638090)
Fliegerabwehrkanone am Bainsizza Plateau.25.9.17. (BildID 15606061)
14th Regiment Coast Battery, Royal Artillery, Haifa.-ZKlugerPhotos-00132h2-907170685123873
Large gun being loaded into a Messerschmitt Me 323 Gigant “Giant", WWII (33371166483)
Zur Maskierung mit Drahtnetz überspannte deutsche schwere 15 cm Haubitzen beim ottom.Korps.
9 2 Inch Howitzer Mk II And Churchill 7 August 1940 - A couple of men standing next to a cannon
Legioniści budujący przejście na rzece
8cm M.05 Feldkanone mit abgenommenen Schild als Flugzeug-Abwehrgeschütz (BildID 15720948)
Related
Yorktown, Virginia. Battery No. 4 - 19th century Virginia.
Yorktown, Virginia. Battery No. 4 - 19th century Virginia.
Yorktown, Virginia. Battery No. 4. American Civil War glass negative.
Yorktown, Virginia. Battery No. 4. American Civil War glass negative.
Yorktown, Virginia. Both sections of Federal mortar battery No. 4
Batterie-Nr. 4, In der Nähe von Yorktown, Virginia
Batterie-Nr. 4, In der Nähe von Yorktown, Virginia
Allgemeine Informationen über Fotos aus dem Bürgerkrieg finden Sie unter https: / / hdl.loc.gov / loc.pnp / pp.cwp Teile von: Bürgerkriegsfotos, 1861-1865 (Library of Congress). Yorktown, Virginia (Nähe). Batterie-Nr.
Yorktown, Virginia. Beide Abschnitte der Bundesmörderbatterie Nr. 4
Siege of Yorktown, Virginia Views of Federal Battery, No. 4
Zusammenfassung
Soldaten mit drei 13-Zoll-Mörsern. LC-B811-375. Sammlung Bürgerkrieg (Library of Congress). Dieser Datensatz enthält nicht verifizierte, alte Daten von der Bildunterschrift-Karte. Original Glas Negativ Nr. : LC-B811-375. Bildunterschrift: Va Yorktown; C.W. Schlacht von Yorktown; C.W. Mörtel.
A very large dataset of various big guns, howitzers, mortars, columbiads, all types of canon-like things - everything besides machine guns and rockets. This collection as well as all massive collections on Picryl.com required two steps: First, we picked a set to train AI vision to recognize cannon artillery, and after that, ran all 25M+ images in our database through our image recognition network. All media in the collection is in the public domain. There is no limitation on the dataset usage - educational, scientific, or commercial.